Nature

Introducing edge intelligence to smart meters via federated split learning

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
Forbes

Harnessing AI, Federated Learning And Blockchain For A Better Future In Medical Use Cases

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) is poised to revolutionize the medical field, offering ...
https//fedtechmagazine.com

How Federated Learning Helps Agencies Build Smarter AI Models Securely

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
Forbes

Are Embedded And Federated Machine Learning The Future Of The AI Industry?

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...
VentureBeat

How (and why) federated learning enhances cybersecurity

Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...
GovCon Wire

Dell Technologies’ Ed Hicks: Federated Learning Could Help Agencies Advance AI at the Edge

Ed Hicks, business development manager for federal and artificial intelligence at Dell Technologies (NYSE: DELL), said government agencies that intend to implement AI at the edge should consider ...
InfoWorld

Federated learning: The killer use case for generative AI

Let’s imagine a fictional company, Global Retail Corporation, a multinational retail chain struggling with its initial approach to AI integration. They built custom generative AI applications on their ...
EurekAlert!

Nature Medicine publishes breakthrough Owkin research on the first ever use of federated learning to train deep learning models on multiple hospitals’ histopathology data

In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning (FL) can be used to train deep learning models on data from ...
insideHPC

3 National Security Labs, 1 Federated Learning AI Model

Sandia National Laboratories released information today spotlighting what the labs call a significant milestone in advancing artificial intelligence for national security. Over the past year, Sandia, ...
EurekAlert!

FTI-SLAM: federated learning-enhanced thermal-inertial SLAM

The workflow of FTI-SLAM framework. The SLAM front-end comprises federated learning-enhanced deep neural networks for odometry, embedding, and loop closure detection. After optimising odometry based ...
Finextra

Federated learning in fraud detection: From proof of concept to practical adoption

At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...